Maximilian Teltzrow

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Consumer surveys demonstrated that privacy statements on the web are ineffective in alleviating users' privacy concerns. We propose a new user interface design approach in which the privacy practices of a website are explicated in a contextualized manner, and users' benefits in providing personal data clearly explained. To test the merits of this approach,(More)
Numerous studies have demonstrated the effectiveness of personalization using quality criteria both from machine learning / data mining and from user studies. However, a site requires more than a high-performance personalization algorithm: it needs to convince its users to input the data needed by the algorithm. Today's Web users are becoming increasingly(More)
Retailers with multiple distribution channels are increasingly gaining market shares compared to Internet-only retailers. However, a lack of research explaining consumers' purchasing behavior in a multi-channel context can be identified.This paper discusses examples of multi-channel strategies and describes in detail the case of an online retailer who aims(More)
Consumer metrics for analyzing the success of customer relationship management (CRM) are gaining increasing importance. CRM software packages have become commonplace. However, two major shortcomings exist. First, most software solutions are not offered as a web service on the Internet. Second, privacy restrictions need to be integrated into an overall(More)
A privacy-protecting business analytics service for online transactions. Abstract The analysis of consumer-related and consumer-generated data for measuring the success of online retailing is gaining increasing importance. Software packages for data analysis have become commonplace. However, two major shortcomings exist. First, most software solutions are(More)
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